Built for CanadianFarming Operations
Every feature is designed for the realities of Canadian agriculture — prairie weather, Canadian commodities, bilingual support, and PIPEDA compliance built in.
AI-Powered Crop Analytics
Get AI-driven insights on crop health, growth patterns, and yield predictions tailored to Canadian growing conditions.
- Analyzes satellite imagery and sensor data for early stress detection
- Provides field-level recommendations based on soil, weather, and crop stage
- Trained on Canadian crop varieties — canola, wheat, barley, lentils, peas
- Confidence scores on every recommendation so you know what to trust
Real-world example
"A Saskatchewan canola farmer catches early blackleg infection 10 days before visual symptoms — saving a $40K crop loss."
Market Intelligence
Track Canadian commodity prices in real time and get sell-timing alerts when conditions match your targets.
- Live pricing for canola, wheat, barley, durum, lentils, and more
- Set target price alerts — get notified via email when your price hits
- Historical price trend charts for seasonal planning
- All data fetched server-side — your API keys stay protected
Real-world example
"An Alberta grain farmer sets a canola price target at $780/tonne and gets alerted when the market hits it — timing the sale for maximum return."
Weather & IoT Integration
Real-time weather data and IoT sensor feeds for every field — with frost alerts, rain forecasts, and growing degree day tracking.
- Hyperlocal weather pulled from Environment Canada + OpenWeather
- Frost, heat, and severe weather alerts sent to your dashboard
- Integrates with popular soil moisture, temperature, and humidity sensors
- No proprietary hardware required — works with what you already have
Real-world example
"A Manitoba potato farmer gets a frost advisory 48 hours early and covers vulnerable fields — avoiding $25K in crop damage."
Soil Health Monitoring
Track soil moisture, pH, nutrients, and organic matter over time. Get actionable recommendations for soil improvement.
- Connect soil sensors or enter lab results for trend tracking
- Nutrient deficiency detection with input recommendations
- Historical soil data retained for season-over-season comparison
- Supports precision variable-rate application planning
Real-world example
"An Ontario cash crop farmer tracks soil pH decline over 3 seasons and adjusts lime application — improving yields by 12% in year 4."
Crop Health Analysis
AI-powered crop health assessment using sensor data and field observations. Catch disease, pests, and nutrient issues early.
- Upload field photos for AI disease classification
- Works with drone imagery for large-scale field scanning
- Early detection of common Canadian crop diseases
- Every diagnosis includes a confidence score and recommended action
Real-world example
"A Quebec horticulture grower uploads leaf photos and catches powdery mildew 2 weeks before it would have spread — saving the harvest."
Workflow Automation
Automate repetitive farm management tasks — from irrigation scheduling to field record updates and compliance reporting.
- Rule-based triggers: 'If soil moisture < 30%, alert me'
- Automated field activity logging for compliance records
- Scheduled reports delivered to your inbox weekly or monthly
- Coming soon: integration with equipment controllers for automated actions
Real-world example
"A large co-operative automates weekly compliance reports across 15 member farms — saving 20 hours/month of manual paperwork."
How It Works
Get started in minutes — no hardware, no installation, no long onboarding.
Create Your Account
Sign up with email. Add your farm name, location, and acreage. Takes under 2 minutes.
Add Your Fields
Map your fields, set crop types, and connect any IoT sensors you already have.
Get Insights Immediately
Weather data, crop monitoring, and market intelligence start flowing to your dashboard right away.